default search action
Na Zou
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j16]Mengnan Du, Fengxiang He, Na Zou, Dacheng Tao, Xia Hu:
Shortcut Learning of Large Language Models in Natural Language Understanding. Commun. ACM 67(1): 110-120 (2024) - [j15]Sirui Ding, Shenghan Zhang
, Xia Hu, Na Zou:
Identify and mitigate bias in electronic phenotyping: A comprehensive study from computational perspective. J. Biomed. Informatics 156: 104671 (2024) - [j14]Huiqi Deng
Unifying Fourteen Post-Hoc Attribution Methods With Taylor Interactions. IEEE Trans. Pattern Anal. Mach. Intell. 46(7): 4625-4640 (2024) - [c24]Zhimeng Jiang
Chasing Fairness in Graphs: A GNN Architecture Perspective. AAAI 2024: 21214-21222 - [c23]Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, Xia Hu:
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods. ICLR 2024 - [c22]Yushun Dong
IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks. KDD 2024: 621-630 - [i34]Yushun Dong, Binchi Zhang, Zhenyu Lei, Na Zou, Jundong Li:
IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks. CoRR abs/2407.19398 (2024) - 2023
- [j13]Can Li
Multi-task learning with dynamic re-weighting to achieve fairness in healthcare predictive modeling. J. Biomed. Informatics 143: 104399 (2023) - [j12]Xiaotian Han, Kaixiong Zhou, Ting-Hsiang Wang, Jundong Li, Fei Wang, Na Zou:
Marginal Nodes Matter: Towards Structure Fairness in Graphs. SIGKDD Explor. 25(2): 4-13 (2023) - [j11]Mingyang Wan
In-Processing Modeling Techniques for Machine Learning Fairness: A Survey. ACM Trans. Knowl. Discov. Data 17(3): 35:1-35:27 (2023) - [j10]Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu:
Retiring ΔDP: New Distribution-Level Metrics for Demographic Parity. Trans. Mach. Learn. Res. 2023 (2023) - [c21]Shenghan Zhang
PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data. ICHI 2023: 268-275 - [c20]Hongyi Ling, Zhimeng Jiang, Youzhi Luo, Shuiwang Ji, Na Zou:
Learning Fair Graph Representations via Automated Data Augmentations. ICLR 2023 - [c19]Hongyi Ling, Zhimeng Jiang, Meng Liu, Shuiwang Ji, Na Zou:
Graph Mixup with Soft Alignments. ICML 2023: 21335-21349 - [c18]Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Ben Hu:
DIVISION: Memory Efficient Training via Dual Activation Precision. ICML 2023: 36036-36057 - [c17]Daochen Zha
Data-centric AI: Techniques and Future Perspectives. KDD 2023: 5839-5840 - [c16]Qizhang Feng, Zhimeng Stephen Jiang, Ruiquan Li, Yicheng Wang, Na Zou, Jiang Bian, Xia Hu:
Fair Graph Distillation. NeurIPS 2023 - [c15]Zhimeng Stephen Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Rui Chen, Na Zou, Xia Hu:
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach. NeurIPS 2023 - [c14]Guanchu Wang, Mengnan Du, Ninghao Liu, Na Zou, Xia Ben Hu:
Mitigating Algorithmic Bias with Limited Annotations. ECML/PKDD (2) 2023: 241-258 - [c13]Yushun Dong, Binchi Zhang
RELIANT: Fair Knowledge Distillation for Graph Neural Networks. SDM 2023: 154-162 - [i33]Yushun Dong, Binchi Zhang
RELIANT: Fair Knowledge Distillation for Graph Neural Networks. CoRR abs/2301.01150 (2023) - [i32]Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu:
Retiring $Δ$DP: New Distribution-Level Metrics for Demographic Parity. CoRR abs/2301.13443 (2023) - [i31]Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu:
Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning. CoRR abs/2302.09400 (2023) - [i30]Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Ziwei Yang, Zheyang Li, Quanshi Zhang:
Understanding and Unifying Fourteen Attribution Methods with Taylor Interactions. CoRR abs/2303.01506 (2023) - [i29]Zhimeng Jiang
Weight Perturbation Can Help Fairness under Distribution Shift. CoRR abs/2303.03300 (2023) - [i28]Shenghan Zhang, Haoxuan Li, Ruixiang Tang, Sirui Ding, Laila Rasmy, Degui Zhi, Na Zou, Xia Hu:
PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data. CoRR abs/2303.10794 (2023) - [i27]Chia-Yuan Chang, Jiayi Yuan, Sirui Ding, Qiaoyu Tan, Kai Zhang, Xiaoqian Jiang, Xia Hu, Na Zou:
Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint. CoRR abs/2303.13790 (2023) - [i26]Sirui Ding, Qiaoyu Tan, Chia-Yuan Chang, Na Zou, Kai Zhang, Nathan R. Hoot, Xiaoqian Jiang, Xia Hu:
Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant. CoRR abs/2304.00012 (2023) - [i25]Hongyi Ling, Zhimeng Jiang, Meng Liu, Shuiwang Ji, Na Zou:
Graph Mixup with Soft Alignments. CoRR abs/2306.06788 (2023) - [i24]Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, Xia Hu:
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods. CoRR abs/2306.09468 (2023) - [i23]Chia-Yuan Chang, Yu-Neng Chuang, Kwei-Herng Lai, Xiaotian Han, Xia Hu, Na Zou:
Towards Assumption-free Bias Mitigation. CoRR abs/2307.04105 (2023) - [i22]Yicheng Wang, Xiaotian Han, Leisheng Yu, Na Zou:
Beyond Fairness: Age-Harmless Parkinson's Detection via Voice. CoRR abs/2309.13292 (2023) - [i21]Chia-Yuan Chang, Yu-Neng Chuang, Zhimeng Jiang
CODA: Temporal Domain Generalization via Concept Drift Simulator. CoRR abs/2310.01508 (2023) - [i20]Xiaotian Han, Kaixiong Zhou, Ting-Hsiang Wang, Jundong Li, Fei Wang, Na Zou:
Marginal Nodes Matter: Towards Structure Fairness in Graphs. CoRR abs/2310.14527 (2023) - [i19]Zhimeng Jiang
Chasing Fairness in Graphs: A GNN Architecture Perspective. CoRR abs/2312.12369 (2023) - 2022
- [j9]Kang Wang
Projection Uniformity of Asymmetric Fractional Factorials. Axioms 11(12): 716 (2022) - [j8]Ruixiang Tang
Defense Against Explanation Manipulation. Frontiers Big Data 5: 704203 (2022) - [c12]Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu:
Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning. AMIA 2022 - [c11]Daochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Ben Hu:
Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning. CIKM 2022: 2476-2485 - [c10]Daochen Zha, Zaid Pervaiz Bhat, Yi-Wei Chen, Yicheng Wang, Sirui Ding, Jiaben Chen, Kwei-Herng Lai, Mohammad Qazim Bhat, Anmoll Kumar Jain, Alfredo Costilla-Reyes, Na Zou, Xia Hu:
AutoVideo: An Automated Video Action Recognition System. IJCAI 2022: 5952-5955 - [i18]Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu:
FMP: Toward Fair Graph Message Passing against Topology Bias. CoRR abs/2202.04187 (2022) - [i17]Qizhang Feng, Mengnan Du, Na Zou, Xia Hu:
Fair Machine Learning in Healthcare: A Review. CoRR abs/2206.14397 (2022) - [i16]Guanchu Wang, Mengnan Du, Ninghao Liu, Na Zou, Xia Ben Hu:
Mitigating Algorithmic Bias with Limited Annotations. CoRR abs/2207.10018 (2022) - [i15]Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Ben Hu:
Towards Memory Efficient Training via Dual Activation Precision. CoRR abs/2208.04187 (2022) - [i14]Mengnan Du, Fengxiang He, Na Zou, Dacheng Tao, Xia Hu:
Shortcut Learning of Large Language Models in Natural Language Understanding: A Survey. CoRR abs/2208.11857 (2022) - [i13]Daochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Ben Hu:
Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning. CoRR abs/2208.12433 (2022) - [i12]Yu-Neng Chuang, Kwei-Herng Lai, Ruixiang Tang, Mengnan Du, Chia-Yuan Chang, Na Zou, Xia Hu:
Mitigating Relational Bias on Knowledge Graphs. CoRR abs/2211.14489 (2022) - 2021
- [j7]Mengnan Du
Fairness in Deep Learning: A Computational Perspective. IEEE Intell. Syst. 36(4): 25-34 (2021) - [j6]Ronald S. Burt, Sonja Opper, Na Zou
Social network and family business: Uncovering hybrid family firms. Soc. Networks 65: 141-156 (2021) - [c9]Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu:
A Unified Taylor Framework for Revisiting Attribution Methods. AAAI 2021: 11462-11469 - [c8]Huiqi Deng, Na Zou, Weifu Chen, Guocan Feng
Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution. KDD 2021: 258-268 - [c7]Ruixiang Tang
Mitigating Gender Bias in Captioning Systems. WWW 2021: 633-645 - [i11]Huiqi Deng, Na Zou, Weifu Chen, Guocan Feng, Mengnan Du, Xia Hu:
Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution. CoRR abs/2104.06629 (2021) - [i10]Daochen Zha, Zaid Pervaiz Bhat, Yi-Wei Chen, Yicheng Wang, Sirui Ding, Anmoll Kumar Jain, Mohammad Qazim Bhat, Kwei-Herng Lai, Jiaben Chen, Na Zou, Xia Hu:
AutoVideo: An Automated Video Action Recognition System. CoRR abs/2108.04212 (2021) - [i9]Mingyang Wan, Daochen Zha, Ninghao Liu, Na Zou:
Modeling Techniques for Machine Learning Fairness: A Survey. CoRR abs/2111.03015 (2021) - [i8]Ruixiang Tang, Ninghao Liu, Fan Yang, Na Zou, Xia Hu:
Defense Against Explanation Manipulation. CoRR abs/2111.04303 (2021) - 2020
- [c6]Zhengyang Wang, Na Zou, Dinggang Shen, Shuiwang Ji:
Non-Local U-Nets for Biomedical Image Segmentation. AAAI 2020: 6315-6322 - [c5]Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu:
Multi-Channel Graph Neural Networks. IJCAI 2020: 1352-1358 - [c4]Yuening Li, Daochen Zha, Praveen Kumar Venugopal, Na Zou, Xia Hu:
PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning. WWW (Companion Volume) 2020: 153-157 - [i7]Yuening Li, Daochen Zha, Praveen Kumar Venugopal
PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning. CoRR abs/2003.05602 (2020) - [i6]Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu:
A Unified Taylor Framework for Revisiting Attribution Methods. CoRR abs/2008.09695 (2020)
2010 – 2019
- 2019
- [c3]Yuening Li, Xiao Huang
SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks. CIKM 2019: 2233-2236 - [c2]Hao Yuan, Na Zou, Shaoting Zhang
Learning Hierarchical and Shared Features for Improving 3D Neuron Reconstruction. ICDM 2019: 806-815 - [c1]Meng Zhang, Na Zou, Ge Cao, Chunxiao Li:
Modeling and simulation of human lower extremity motion. ICTC 2019: 107-109 - [i5]Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou:
SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks. CoRR abs/1908.03849 (2019) - [i4]Mengnan Du, Fan Yang, Na Zou, Xia Hu:
Fairness in Deep Learning: A Computational Perspective. CoRR abs/1908.08843 (2019) - [i3]Yuening Li, Daochen Zha, Na Zou, Xia Hu:
PyODDS: An End-to-End Outlier Detection System. CoRR abs/1910.02575 (2019) - [i2]Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu:
Multi-Channel Graph Convolutional Networks. CoRR abs/1912.08306 (2019) - 2018
- [j5]Hande Cakin, Berk Görgülü
A Data Adaptive Biological Sequence Representation for Supervised Learning. J. Heal. Informatics Res. 2(4): 448-471 (2018) - [j4]Na Zou, Jinwen Tian:
多特征融合红外舰船尾流检测方法研究 (Research on Multi Feature Fusion Infrared Ship Wake Detection). 计算机科学 45(11A): 172-175 (2018) - [j3]Xiao Huang
A General Embedding Framework for Heterogeneous Information Learning in Large-Scale Networks. ACM Trans. Knowl. Discov. Data 12(6): 70:1-70:24 (2018) - [i1]Zhengyang Wang, Na Zou, Dinggang Shen, Shuiwang Ji:
Global Deep Learning Methods for Multimodality Isointense Infant Brain Image Segmentation. CoRR abs/1812.04103 (2018) - 2015
- [b1]Na Zou:
A probabilistic framework of transfer learning - theory and application. Arizona State University, Tempe, USA, 2015 - [j2]Na Zou, Yun Zhu, Ji Zhu, Mustafa Gökçe Baydogan
A Transfer Learning Approach for Predictive Modeling of Degenerate Biological Systems. Technometrics 57(3): 362-373 (2015) - 2011
- [j1]Hong Qin, Na Zou, Shangli Zhang:
Design efficiency for minimum projection uniformity designs with two levels. J. Syst. Sci. Complex. 24(4): 761-768 (2011)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-25 20:06 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: